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Table 3 Regression coefficients and variance partition coefficients for school and neighbourhood for models - reception year

From: Understanding local ethnic inequalities in childhood BMI through cross-sectional analysis of routinely collected local data

 GirlsBoys
Null modelModel 1 aModel 2 bNull modelModel 1 aModel 2 b
FIXED EFFECTSCoefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]
White British (reference)0.34 [0.31,0.37]0.41 [0.38,0.45]0.29 [0.21,0.38]0.36 [0.32,0.39]0.43 [0.39,0.46]0.38 [0.30,0.47]
Ethnicity CoefficientsCoefficients CoefficientsCoefficients
 White other −0.16 [−0.23,-0.08] P < 0.001−0.15 [−0.23,-0.07]
P < 0.001
 −0.14 [−0.21,-0.06]
P < 0.001
− 0.13 [− 0.21,-0.05]
P < 0.001
 Mixed ethnicity −0.11 [− 0.18,-0.03]
P = 0.002
−0.11 [− 0.18,-0.04]
P = 0.001
 −0.07 [− 0.15,0.00]
P = 0.034
− 0.08 [− 0.15,-0.00]
P = 0.019
 Indian − 0.47 [− 0.54,-0.41]
P < 0.001
− 0.47 [− 0.54,-0.41]
P < 0.001
 − 0.53 [− 0.60,-0.46]
P < 0.001
−0.53 [− 0.60,-0.46]
P < 0.001
 Pakistani −0.30 [− 0.39,-0.21]
P < 0.001
−0.32 [− 0.40,-0.23]
P < 0.001
 − 0.43 [− 0.52,-0.35]
P < 0.001
−0.45 [− 0.53,-0.36]
P < 0.001
 Bangladeshi −0.14 [− 0.28,0.01]
P = 0.031
−0.16 [− 0.30,-0.01]
P = 0.016
 − 0.15 [− 0.30,0.00]
P = 0.025
−0.17 [− 0.33,-0.02]
P = 0.014
 Other Asian backgrounds −0.28 [− 0.38,-0.19]
P < 0.001
−0.29 [− 0.38,-0.20]
P < 0.001
 − 0.22 [− 0.32,-0.13]
P < 0.001
−0.23 [− 0.32,-0.13]
P < 0.001
 Black Caribbean 0.08 [−0.12,0.28]
P = 0.216
0.07 [− 0.13,0.26]
P = 0.257
 0.01 [− 0.18,0.20]
P = 0.486
− 0.01 [− 0.20,0.18]
P = 0.465
 Black African 0.12 [0.06,0.19]
P < 0.001
0.11 [0.04,0.17]
P < 0.001
 0.18 [0.11,0.25]
P < 0.001
0.17 [0.10,0.24]
P < 0.001
 Other Black Backgrounds 0.14 [− 0.03,0.30]
P = 0.053
0.12 [− 0.04,0.29]
P = 0.07
 −0.02 [− 0.20,0.15]
P = 0.408
− 0.02 [− 0.20,0.15]
P = 0.392
 Chinese −0.34 [− 0.60,-0.09]
P = 0.002
−0.33 [− 0.58,-0.08]
P = 0.005
 −0.48 [− 0.77,-0.20]
P < 0.001
−0.46 [− 0.75,-0.18]
P = 0.002
 Any other ethnic group −0.14 [− 0.29,0.01]
P = 0.033
−0.15 [− 0.30,− 0.01]
P = 0.022
 0.07 [− 0.10,0.23]
P = 0.214
0.06 [− 0.10,0.22]
P = 0.231
Child covariates  Coefficient [95% credible intervals]  Coefficient [95% credible intervals]
 Year of measurement  -0.01 [−0.02,-0.01]
P = 0.001
  −0.02 [− 0.03,-0.01]
P < 0.001
School and neighbourhood covariates  Coefficient [95% credible intervals]  Coefficient [95% credible intervals]
 Neighbourhood IMD decile  0.03 [0.02,0.04]
P < 0.001
  0.02 [0.01,0.03]
P < 0.001
RANDOM EFFECTS
Decomposition of variance% variance% variance% variance% variance% variance% variance
 School level VPC1.4%1.1%0.7%1.4%0.8%0.7%
Neighbourhood level VPC0.6%0.4%0.3%0.4%0.3%0.3%
 Child level VPC98.0%98.5%99.0%98.2%98.9%99.0%
MODEL FITDICDICDICDICDICDIC
 Bayesian DIC40,43840,17940,16144,69644,37944,357
Observations13,82813,82813,82814,57914,57914,579
  1. aModel 1 = Ethnicity only; bModel 2 = ethnicity + year of measurement + neighbourhood IMD